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Internship High Performance Computing Engineer Jobs in Portland, OR

Nvidia

Senior Architect, Data Center Modeling

Hillsboro, OR · On-site

$73.25 - $98/hr

... high-performance computing and AI technologies. What we need to see: Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering or related fields or equivalent experience (MS ...

Nvidia

Senior Architect, Data Center Modeling

Hillsboro, OR · On-site

$73.25 - $98/hr

... high-performance computing and AI technologies. What we need to see: * Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering or related fields or equivalent experience ...

Intel

CPU Pre-Silicon Verification Engineer

Hillsboro, OR · On-site

$148K/yr

The Role and Impact As a CPU Pre-Silicon Verification Engineer , you will help ensure the quality ... Your work will directly contribute to Intel's future client, AI, and high-performance computing ...

Intel

Server CPU SoC Architect

Hillsboro, OR

$181K/yr

... high-performance computing to low-power Edge products. You will evaluate feasibility tradeoffs ... Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related ...

Intel Corporation

Server CPU SoC Architect

Hillsboro, OR · On-site

$181K/yr

... high-performance computing to low-power Edge products. You will evaluate feasibility tradeoffs ... Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related ...

Ampere Computing LLC

Virtual Platform Architect

Portland, OR · On-site +1

$147K - $220K/yr

As a pioneer in the new frontier of energy efficient high-performance computing, Ampere is part of ... General programming/debugging abilities, as well as modeling computer systems in C++, SystemC, and ...

Intel

Middleware Development Engineer

Hillsboro, OR

$111K - $211K/yr

The Role and Impact Join Intel's Communication Runtimes team to shape the future of High-Performance Computing (HPC) and Artificial Intelligence (AI). As a Middleware Development Engineer, you will ...

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Internship High Performance Computing Engineer information

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How much do internship high performance computing engineer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for internship high performance computing engineer in Portland, OR is $63.74, according to ZipRecruiter salary data. Most workers in this role earn between $52.26 and $72.16 per hour, depending on experience, location, and employer.

What is an internship high performance computing engineer?

An Internship High Performance Computing (HPC) Engineer is a student or early-career professional who works with advanced computing systems designed for processing large data sets and complex calculations at high speeds. During the internship, they assist in developing, optimizing, and maintaining HPC infrastructure, software, or applications used in scientific research, engineering, or data analysis. The role often involves learning about parallel computing, cluster management, and performance tuning, while gaining hands-on experience with cutting-edge technologies. Interns work under the supervision of experienced HPC engineers, contributing to projects that advance computational capabilities in various fields.

What types of projects can I expect to work on as an internship high performance computing engineer?

As an Internship High Performance Computing (HPC) Engineer, you will typically contribute to projects involving optimization of scientific applications, performance analysis, and cluster management. Interns often assist with benchmarking software, troubleshooting issues in parallel computing environments, and supporting researchers with technical solutions. You'll likely collaborate closely with senior HPC engineers, system administrators, and academic researchers to ensure efficient use of computing resources. This hands-on experience provides valuable insight into real-world challenges faced in HPC environments and helps build a strong foundation for future roles in the field.

What are the key skills and qualifications needed to thrive as an internship high performance computing engineer?

To thrive as an Internship High Performance Computing Engineer, you need a solid background in computer science fundamentals, programming (especially in C/C++ or Python), and a familiarity with parallel computing concepts, often supported by coursework or relevant project experience. Experience with Linux environments, HPC clusters, and distributed computing frameworks, as well as tools like MPI, OpenMP, or Slurm, is commonly required. Strong problem-solving skills, attention to detail, and the ability to collaborate effectively within technical teams help interns stand out. These skills ensure you can efficiently support computational research, resolve technical challenges, and contribute meaningfully to HPC projects.

What is the difference between Internship High Performance Computing Engineer vs Internship Data Scientist?

AspectInternship High Performance Computing EngineerInternship Data Scientist
Required SkillsProgramming (C++, Python), parallel computing, HPC systemsStatistics, machine learning, data analysis, Python/R
Work EnvironmentResearch labs, tech companies, academia with focus on HPC systemsTech firms, finance, healthcare, research institutions
Industry UsageHigh-performance computing projects, scientific simulationsData analysis, predictive modeling, business insights

Internship High Performance Computing Engineers focus on developing and optimizing computational systems for large-scale scientific and engineering problems, requiring skills in parallel programming and HPC environments. In contrast, Internship Data Scientists analyze data to extract insights, using statistical and machine learning techniques. Both roles are valuable in tech and research sectors but differ in technical focus and daily tasks.

What are popular job titles related to Internship High Performance Computing Engineer jobs in Portland, OR?

For Internship High Performance Computing Engineer jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Internship High Performance Computing Engineer jobs in Portland, OR look for?

The top searched job categories for Internship High Performance Computing Engineer jobs in Portland, OR are:

Internship High Performance Computing Engineer jobs near you
Infographic showing various Internship High Performance Computing Engineer job openings in Portland, OR as of September 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 2% Contract, and 1% Nights. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $132,583 per year, or $63.7 per hour.

Senior Architect, Data Center Modeling

Hillsboro, OR • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

$73.25 - $98/hr

Full-time

Re-posted 29 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

Imagine shaping the future of AI and computing at one of the most innovative companies in the world. At NVIDIA, we are redefining industries with our groundbreaking advancements in High-Performance Computing, Artificial Intelligence, and Visualization. Our GPUs, the visual cortex of modern computers, are at the core of revolutionary technologies from AI to autonomous vehicles.

Join us in pushing the boundaries of what's possible, enabling extraordinary creativity and discovery, and turning science fiction into reality. We are seeking visionary computer architects to design and develop models for the next generation of GPU-accelerated datacenters. What you'll be doing: Guiding the fundamental software design, architecture, and implementation of cost and power modeling of datacenter-scale accelerated computing platforms Evangelizing modern software architecture design patterns and tools, including AI-driven solutions, to accelerate development, enhance performance, and improve code quality across the team.

Implementing industry-leading software and dev-ops best practices tailored for rapidly growing teams, fostering a culture of continuous improvement and innovation. Making hands-on and significant contributions to a business-critical codebase, directly impacting the future of high-performance computing and AI technologies. What we need to see: Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering or related fields or equivalent experience (MS preferred) 8+ years of experience in systems architecture and modeling, especially performance, power, or cost modeling of distributed systems.

Exceptional programming skills in Python, accompanied by strong mathematical and analytical skills. Excellent interpersonal skills with success contributing to projects within multi-discipline teams. Proven track record of contributions to scaled Python-based software projects Ways to stand out from the crowd: Experience with accelerated server architecture design and deployment, especially up to hyperscale.

Background in parallel computing, server architecture, or datacenter design. An excitement and curiosity about the future of accelerated computing and AI Expertise in data analysis and visualization, especially pandas and associated technologies A love of technology and passion for your work. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026.

This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.

As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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